Jobs Python

We are looking for a proactive, attentive to details, focused on quality of work Senior Python Engineer to join our growing team.

Project:

Our client specializes in remotely controlling and optimizing HVAC (Heating, Ventilation, and Air Conditioning) systems to achieve automatic energy savings. By utilizing advanced technology, their goal is to enhance the efficiency of HVAC systems in apartment buildings, delivering significant cost savings and reducing energy consumption.

What are we looking for?

Tech Skills:

• 4+ years of experience as a Python Developer;
• Experience with Flask, Django framework;
• Experience with Azure, AWS cloud services;
• Experience with API development;
• Experience with SQL(PostgreSQL), NoSQL(MongoDB);
• Experience with Docker, Kubernetes;
• Experience with CI/CD;
• Understanding of unit tests;
• Understanding and ability to apply in practice the OOP and SOLID principles;
• Knowledge of Scrum (Agile); 
• Experience with React.js would be a plus.

Soft Skills:

• Problem-solving, analytical thinking;
• Attention to detail and code efficiency;
• Ability to work closely with customers, analyze software requirements;
• Keen to constantly learn and improve your own skills, and not afraid to learn new things;
• Strong communication skills;
• At least Upper-Intermediate English level (speaking & writing).

We offer:

• Competitive compensation;
• Flexibility to work from anywhere (fully remotely or in our office in Lviv);
• Accounting Support Services;
• Regular reviews and feedback meetings;
• Continuous professional development: growth and certifications are encouraged;
• Regular team-building activities;
• The ambitious, supportive and friendly team of professional developers, designers, managers, and specialists and outstanding support and synergy of the entire organization;
• Opportunity to implement your ideas and initiatives;
• The environment and culture that promotes personal and team development.

Application Process:

• Initial screening: call with Recruiter
• Tech interview
• Сlient’s interview

Who we are:
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product:
 

Zenity is the first security governance platform built specifically for AI Copilots, Low-Code/No-Code applications, and business-led development. Enterprises today create thousands of automations, workflows, copilots, and integrations outside traditional R&D—introducing new, fast-moving security risks. Zenity provides organizations with:

• Real-time detection of misconfigurations, unsafe data flows, and policy violations
• Centralized visibility across hundreds of business-driven apps and automations
• Security guardrails for GenAI and LLM-powered tools
• Prioritized vulnerability reports and guided remediation

About the Role:
Zenity is hiring a Senior Backend Engineer to help drive the evolution of its security platform for AI and Low-Code ecosystems. The perfect candidate will be passionate about building large-scale, cloud-based solutions. You’ll be working in a dynamic, Agile setting, helping to drive the ongoing development and enhancement of the platform.

Key Responsibilities: 

• Design and build backend services powering security governance for GenAI, Copilots, and Low-Code platforms
• Deliver end-to-end product features used by enterprise customers at scale
• Develop detection logic, data flows, and validation layers for complex workflows and automations
• Work with distributed systems, microservices, and cloud-native components
• Build and optimize SQL schema, queries, data models, and near-real-time processing pipelines
• Participate in design reviews, collaborate closely with product and security teams, and contribute thoughtful technical decisions
• Implement security-focused backend solutions that help enterprises adopt AI responsibly
• Use AI-assisted development tools (Copilot, Cursor, Claude Code, etc.) as part of the day-to-day workflow

Required Competence and Skills:
 

• 7+ years of software engineering experience with proven delivery of production features
• 5+ years of Python, working on core product systems with real user impact
• Strong SQL fundamentals; hands-on experience with PostgreSQL/MySQL plus familiarity with MongoDB or DynamoDB
• Experience building distributed systems or microservices, including observability and CI/CD automation
• Solid cloud background (AWS preferred) and hands-on work with Docker and container-based deployments
• Practical use of AI-assisted development tools and understanding of context engineering / AI-first development principles
• Experience contributing to high-scale or customer-facing products
• Strong communication skills in English, plus experience collaborating with distributed teams
• Ownership mindset and the ability to take a feature from design to production

Nice to have:

• Background in data engineering, streaming, or maintaining near real-time data pipelines
• Experience designing ETL/ELT pipelines or large-scale data systems
• Hands-on with Kubernetes
• Experience with workflow orchestration (Temporal, Cadence, or similar)
• Ability to work across multiple languages (Python + Go or Node.js)

Why Us?

We provide 20 days of vacation leave per calendar year (plus official national holidays of the country you are based in).

We provide full accounting and legal support in all countries in which we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

Responsibilities

• Design and develop backend services using Python.
• Own backend architecture and make key technical decisions.
• Translate business requirements into scalable and secure technical solutions.
• Lead backend delivery: planning, estimation, and execution.
• Integrate with payment providers, banks, and third-party services.
• Ensure reliability, security, and performance of the platform.

• Mentor engineers and collaborate with product and business teams.

   

Requirements

• 7+ years of backend development experience (Python).
• Strong experience with fintech / payments / high-load systems.
• Solid knowledge of REST APIs, databases (PostgreSQL), and microservices.
• Experience with cloud platforms (AWS/GCP/Azure).

• Ability to take ownership of architecture and delivery.

   

As A Plus

• Experience with payment gateways and fintech regulations.

• Background in technical leadership or solution architecture

   

We Offer

• Competitive salary
• Flexible schedule
• Social package
• Courses, webinars, seminars to increase professional skills
• Snacks & fruit, foosball, fun office environment
• Horizontal hierarchy. No micromanagement pressure
• Open company culture where your ideas and initiatives are valued
• Regular team building & corporate events
• International projects

We are looking for a dynamic Python AI Engineer (Generative NLP, AI Agents, Prompting) with strong experience in Python API development. This is an exceptional opportunity for someone passionate about shaping the future of AI-driven conversational interfaces and eager to work with cutting-edge technologies, including API development and integration of LLM APIs such as those offered by OpenAI.

As a Python AI Engineer, your primary mission will be to design, develop, and deploy AI solutions that integrate into our existing systems. You will have the chance to work on API development as well as prompt-based and API-based solutions, reflecting our commitment to rapid delivery without compromising on innovation.

About the project:

A stable enterprise product for creating marketing presentations, preparing accompanying materials, and developing sales cycle business assistants for global pharmaceutical companies such as AstraZeneca, Novartis, Pfizer, Veeva etc., and financial institutions like ING and Van Lanschot. Completely our code base, we have been developing it since 2015.

Our services are distributed across multiple Availability Zones, adhering to a service-oriented architecture. Since 2018, we have prioritized GraphQL, although we maintain comprehensive support for RESTful APIs. Our core API services are built on a diverse stack of programming languages, each chosen to optimize task performance. This stack includes a rapidly evolving Golang Core API, legacy Core API services in PHP (leveraging frameworks like Laravel and Yii2) for established business logic and data layer interactions, Node.js (utilizing both JavaScript and TypeScript), Python APIs, and .NET Core C# components.

We utilize a hybrid cloud infrastructure, harnessing the strengths of both AWS and GCP to meet our operational needs, and focus on Serverless. Our work also involves extensive integration with API partners, including Veeva, Salesforce, and a variety of others, to ensure a seamless and robust service ecosystem.

As a product with high-security requirements, we undergo regular penetration testing from auditors and client companies to ensure compliance with industry standards such as OWASP, SOC, and ISO.

Key Responsibilities:

- Design, develop, and deploy AI solutions utilizing Python.

- Construct and enhance Chains, AI Agents, and AI Pipelines with tools such as Langchain and LlamaIndex.

- Develop robust APIs leveraging Flask and FastAPI frameworks.

- Develop solutions using Vector Databases.

- Gather, clean, and analyze data to uncover patterns and derive insights.

- Research and apply novel AI techniques and algorithms for continuous improvement.

- Fine-tune LLMs using both manual and automated feedback mechanisms.

- Ensure the reliability and optimal performance of AI services through diligent site reliability engineering.

- Work collaboratively with cross-functional teams to craft impactful AI solutions that drive business growth.

Qualifications:

- Bachelor’s degree in Computer Science, Artificial Intelligence, or a closely related field.

- Prompt engineering skills.

- High proficiency in at least one of the following programming languages: Python, TypeScript, Golang, or Rust.

- Minimum of 1 year of experience in developing AI solutions, preferably with LLMs.

- Strong foundation in Python, with at least 1 year of experience.

- Ability to design, develop, and deploy machine learning models.

- Basic NLP skills, including sentiment analysis, named entity recognition, and part-of-speech tagging.

- Understanding of machine learning principles and algorithms.

- Familiarity with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.

This position offers the chance to be at the forefront of AI development, working on solutions that leverage the latest advancements in AI technology. If you are driven by innovation, eager to tackle challenging problems, and ready to make a significant impact, we would love to hear from you.

Benefits:

In addition to a great base salary, we offer:

1) Military reservation.

2) Funding for conferences, co-working spaces, software licenses, and other work-related expenses

3) MacBook if you require one

4) Mobile devices if you are involved with mobile development projects

5) Flexible working hours and fully remote working without micromanagement

6) Modern technology stack

7) Time for open source development

8) Bonus at the end of the year

9) Paid study leave

10) Paid English language courses

11) 36 company-paid days off per annum

12) Access to educational streaming services like Pluralsight

13) Input on the development of the company

Our core values:

We are open-minded, humble, respectful, self-driven, and honest, which allows us to create an atmosphere of synergy. Our team is a great fit for those who value self-organization and are passionate about personal growth. If this resonates with you, we’d love to have you join the team.

NO vibe-coding, we need experience in parsing and data science.

We are building "Howard"—an Investment AGI designed to industrialize the brain of top credit veterans (e.g ex-Zwirn/Blackstone pedigree). While the rest of the market fights over "data aggregation," we are building "automated reasoning"—an engine that ingests messy financial data (SEC filings, BDC reports, court dockets) and thinks like a credit committee.

The Role: We need a Data Ingestion Architect to build the feeding tubes for our AGI. You aren't just scraping websites; you are architecting real-time pipelines that turn unstructured chaos into alpha. You will work directly with the founder to map the "thinking path" of elite credit investors into code.

The Deal:

Rate: $25/hr (Contractor/Stipend) to start.
Stack: Python, Scrapy, Selenium, LLM Orchestration (LangChain/Vector DBs).
If you want a safe 9-to-5, this isn't it. If you want to build the "Aladdin for Private Credit" from the ground floor, let's talk.

About the Role:

We are seeking a motivated Junior Verification Engineer to join our VLSI design and verification team.

This is an excellent opportunity for new graduates with strong academic training in digital design, verification methodologies, and SystemVerilog/UVM.

Responsibilities:

Develop and execute verification testbenches using Verilog/SystemVerilog and UVM

Implement functional and constrained-random tests for block-level and SoC-level designs

Create coverage models (functional, code, assertion-based) and drive coverage closure

Debug simulation failures, interface mismatches, and RTL issues

Write and maintain scoreboards, monitors, agents, drivers, and checkers in UVM

Review design specifications, extract test requirements, and build verification plans

Run regressions, triage failures, and document results

Collaborate closely with RTL designers, DFT, backend, and system architects

Required Qualifications:

B.Sc. or M.Sc. in Electrical/Computer Engineering or related field

Strong academic background in digital logic, computer architecture, and VLSI design

Hands-on experience with Verilog and SystemVerilog (labs, projects, internship)

Basic understanding of UVM methodology

Familiarity with simulation tools (VCS, QuestaSim, Xcelium or similar)

Ability to read and understand RTL code

Good analytical and debugging skills

Strong motivation to grow in advanced functional verification

Nice-to-Have Skills:

Coursework or project experience with UVM testbench development

Familiarity with assertion-based verification (SVA)

Basic scripting (Python, Perl, Shell, TCL)

Experience with coverage-driven verification

Exposure to SoC-level interfaces (AXI, PCIe, DDR, Ethernet, SPI, I2C)

What We Offer:

Full training in modern verification methodologies (UVM, SVA, CRV)

Work with cutting-edge IPs and SoC architectures

Mentorship from senior verification and architecture teams

Clear growth path toward UVM specialist, verification lead, or architect

We are looking for highly motivated junior engineers to join our Design-for-Test (DFT) team.

This is an excellent opportunity for graduates who want to build expertise in Scan, Memory BIST, and JTAG within advanced VLSI development.

Responsibilities:

Learn and support implementation of scan insertion and scan chain architecture

Assist in ATPG pattern generation and test coverage analysis

Participate in Memory BIST (MBIST) integration and verification

Work with JTAG / IEEE 1149.1 boundary scan concepts and flows

Help debug test-related issues at RTL and gate level

Collaborate with senior DFT engineers on SoC-level test strategy

Required Background:

Academic knowledge in digital logic, VLSI design, and computer architecture

Basic familiarity with DFT concepts: scan, ATPG, BIST, boundary scan

Understanding of Verilog or VHDL

Scripting basics (Python, TCL, Shell)

Good analytical and problem-solving skills

Strong motivation to learn industry-standard DFT tools and flows

What We Offer:

Full training in Scan, MBIST, JTAG, ATPG, and DFT methodologies

Mentorship by experienced DFT engineers

Exposure to advanced SoC development flows and signoff

Growth path toward senior DFT, test architecture, or silicon bring-up roles

We are looking for a skilled Python Developer who is located in Lviv. You will work on building and maintaining high-quality backend solutions, improving system performance, and contributing to the technical architecture of our products.

Responsibilities

- Develop, maintain, and optimize backend services using Python.

- Design and improve application logic, data processing workflows, and integrations.

- Collaborate with the team to define technical requirements and implement best practices.

- Write clean, well-structured, and testable code.

- Participate in code reviews and contribute to continuous improvement.

- Work closely with frontend developers.
 

Requirements

- Strong experience with Python development.

- Solid understanding of software design principles, clean code, and modern development practices.

- Experience working with APIs, data structures, and system integrations.

- Ability to work independently as well as in a team environment.

- Good communication skills and attention to detail.

- Upper-Intermediate English.
 

Nice to Have

- Experience with React.js or understanding of frontend-backend collaboration.

- Familiarity with cloud platforms, CI/CD, or containerization tools.

- Knowledge of SQL or NoSQL databases.

About Revenue Grid

Revenue Grid is a B2B SaaS Revenue Intelligence platform helping sales teams across the US eliminate revenue leaks and make better, data-driven decisions.

We are actively growing our Applied AI & Generative AI direction — a focused engineering team working on real, production-level AI features embedded directly into the product, not experimental demos.

Our goal is to turn LLM capabilities into reliable, scalable tools that solve concrete business problems for sales teams.

What You’ll Do

• Design and implement AI-powered features using Large Language Models (LLMs)
• Build and evolve RAG pipelines, agent-based workflows, and multi-step reasoning systems
• Work hands-on with LangChain and/or LangGraph
• Develop PoCs and MVPs and take them to production-ready solutions
• Integrate AI services with existing backend systems and data sources
• Collaborate closely with product, backend, and data teams
• Continuously experiment with new tools, frameworks, and techniques in applied AI

What You Bring

• Strong Python skills and solid software engineering fundamentals
• Practical experience with prompt engineering
• Hands-on experience with LangChain and/or LangGraph
• Good understanding of LLMs, embeddings, vector databases, and RAG architectures
• Experience working with LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.)
• Ability to design reliable AI workflows rather than just calling an API
• Product-oriented mindset and ownership mentality

Nice to Have

• Experience with FastAPI
• MLOps or LLM evaluation and monitoring
• Experience with Kafka or data streaming
• Cloud platforms (AWS, GCP, Azure)
• Background in SaaS / B2B products

Why Revenue Grid

• Remote-first setup with flexible working hours
• Real ownership and autonomy — no micromanagement
• Applied AI in production, not just research
• Unlimited vacation policy
• Medical insurance after the trial period
• Strong product culture and experienced engineering team
• Opportunity to grow into AI Architect or Technical Lead roles

Ready to build real AI features used by thousands of sales professionals? 
We’d love to meet you — apply now.

Join our Core Team as a highly skilled Python Developer to build and scale our high-load Geospatial AI Data Platform. You will be the critical link, productionizing Data Science models and transforming massive volumes of raw imagery into meaningful, structured insights that power our client-facing product. If you're driven by complex, high-scale big data challenges, this is the role for you. 

Key Responsibilities: 
● Data Pipeline Development: Implement and optimize robust ETL data pipelines for collecting, cleaning, transforming, and loading large volumes of geospatial data. 
● API Development & Deployment: Design, build, and maintain high-speed, scalable RESTful APIs (using frameworks like FastAPI/Powertools for Lambda). 
● Model Integration & Productionization: Work closely with Data Scientists to containerize and deploy models (e.g. roof age prediction) into our Geospatial AI Data Platform. 
● Code Quality & Optimization: Write clean, efficient, testable, and reusable Python code. Optimize data processing and platform latency to handle requests and queries at massive scale and high volume. 
● System Architecture: Contribute to the design and implementation of our Microservices and Serverless architectures, ensuring high availability, security, scalability and observability. 
● Collaboration: Work within an Agile team alongside Data Scientists, DevOps, and Product Managers to translate business requirements into technical solutions.

Required Qualifications: 
● B.Sc. degree in Computer Science or a related technical field. 
● Demonstrable professional experience as a Python Developer with a focus on data-intensive backend systems (4+ years). 
● Expert knowledge of Python 3, follow PEP8. 
● Experience developing using OOP and SOLID principles. 
● Proven experience designing and developing production-ready APIs using a modern Python web framework such as FastAPI or Powertools for AWS Lambda. 
● Experience with AWS services such as S3, SQS, EC2, API GW, Lambda, DynamoDB, CloudFormation/SAM using boto3. 
● Experience with Docker/Kubernetes. 
● Experience with Linux, preferably Ubuntu. 
● Experience with SQL Databases (e.g. PostgreSQL) 
● Experience with version control (Git) and collaborative development workflows. 
● Good communication skills in English

Preferred/Bonus Qualifications: 
● Experience with geo-spatial libraries (e.g., Geopandas, GDAL, Shapely, Rasterio). 
● Familiarity with model serving technologies such as NVIDIA Triton Inference Server. 
● Experience with Workflow Management platforms such as Apache Airflow. 
● Experience with on-prem servers. 
● Knowledge of CI/CD pipelines (GitHub Actions) and DevOps best practices

We are looking for an experienced Backend Engineer to build and scale high-performance backend systems for modern cloud-native products. You will work with Python, AWS, Kubernetes, and microservices, contributing to reliable, secure, and scalable solutions used across multiple industries.

What You’ll do:

• Design, develop, and maintain backend services using Python (Django is a plus)
• Build and scale microservices-based architectures
• Develop and deploy cloud solutions on AWS (ECS, EKS, Lambda, S3, RDS)
• Deploy and manage containerized applications using Kubernetes (K8s)
• Ensure high performance, reliability, security, and scalability
• Collaborate with product and engineering teams on system architecture
• Fluent in Ukrainian language
   

What We’re looking for:

• 7+ years of backend software development experience
• Strong proficiency in Python
• Hands-on experience with Kubernetes and container orchestration
• Solid experience with AWS cloud services
• Strong understanding of microservices and distributed systems
• Experience with relational and NoSQL databases
• Excellent problem-solving and debugging skills
• Team-oriented mindset with strong communication skills

Nice to have:

• Experience with Django
• Knowledge of CI/CD pipelines
• Experience with Docker
• Familiarity with DevOps practices

Join a US-based, mission-driven tech company building a platform that connects nonprofits and small businesses with skilled volunteers.
This is a key technical leadership role with full ownership of architecture, engineering standards, and long-term technical direction.

Who we’re looking for (US-based ONLY)

‼️ This role is open exclusively to candidates who are physically located in the United States.

Must Have

• 5+ years of experience in software engineering
• 2+ years in a Tech Lead / Software Architect role
• Strong hands-on expertise with Python (Django) and React
• Proven experience designing scalable architectures and making core technical decisions
• Solid knowledge of PostgreSQL, API design, system integrations
• Strong background with AWS (Render is a plus)
• Confident with DevOps practices: CI/CD, IaC, monitoring
• English level B2–C1
• Structured, proactive, able to mentor engineers and set technical standards
• Ready to act as the key technical owner of the platform

Nice to Have

• Experience with SaaS / platform architecture
• ElasticSearch experience
• AI/ML or OpenAI API integration experience
• Serverless or microservices orchestration
• Background in nonprofit or impact-driven projects

What you’ll do

• Own the platform’s architecture and long-term technical direction
• Spend ~70% of your time on hands-on development
• Build and optimize APIs, data flows, and integrations
• Lead integrations with OpenAI API, Klaviyo, SendGrid
• Design and maintain CI/CD pipelines and cloud infrastructure (AWS, Render)
• Ensure performance, scalability, and reliability
• Conduct code reviews and mentor the engineering team
• Collaborate closely with product and design to shape technical solutions

We Offer

• Full ownership of the platform’s technical architecture
• High autonomy and trust — no micromanagement
• Work on a product with real social impact
• 100% remote, flexible schedule
• Modern stack with freedom to improve and evolve it
• Direct influence on product and technical roadmap

About the Company

US-based impact-driven tech platform connecting nonprofits and small businesses with skilled volunteers.
This role is the central technical pillar of the team.

Location: USA only
Format: 100% Remote
Schedule: Flexible, with one recurring sync at 4:00 PM EST

Project

A platform reshaping the vehicle inspection market, allowing companies to run guided, computer vision–based inspections on any smartphone in just a few minutes, with AI assessing damage and estimating repair costs.

Role

Our client is looking for a Senior AI / ML Engineer to take ownership of improving the learning performance of AI models used for vehicle damage detection and damage size assessment. The role exists because the client’s current AI models have plateaued over the past year and they are looking for a fresh perspective to identify new approaches and drive further improvements in data, training, evaluation, and model design.

Qualifications

• 5+ years of experience in Computer Vision.
• Strong understanding of Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Convolutional Recurrent Neural Networks (RCNN).
• Experience working with large datasets.
• Strong programming skills in Python, TensorFlow, and PyTorch.
• Strong AWS experience (deployment, optimization).
• Usage of open-source CNN models such as Yolo.
• Bachelor’s degree in Computer Science or a related field.

Responsibilities

• Design, develop, and implement deep learning models using CNN, RNN, and RCNN for various applications.
• Work with large data sets to preprocess, clean, and prepare data for model training.
• Create datasets for training and testing.
• Train machine learning models and validate their accuracy, and deploy validated models into production.
• Optimize models for performance and accuracy, and fine-tune hyperparameters to achieve optimal results.
• Stay up to date with the latest developments in deep learning techniques and technology.
• Provide technical guidance and support to other team members.

We are seeking a prospective and ambitious Senior/Lead Python Engineer to join our team.

Responsibilities :

• Understand business needs and implement functional requirements accordingly
• Work independently and directly with stakeholders when needed
• Help in designing the software
• Build efficient back-end features in Python
• Implement designs into code by collaborating with UI/UX designers
• Keep suggesting improvements and ways to enhance the functioning of the software
• Be focused on quality

Requirements :

• 6+ years of experience in Python
• 2+ years in FastAPI
• 2-3 years in a Tech Lead role
• Must have: Amazon SES, AWS Lambda, Mongo DB, MicroServices architecture, and Serverless
• Experience with Mobile projects or readiness to deep dive into the domain fast 

Good to have: 

• GCP, GBQ, Cloudflare
• Excellent verbal and written skills in English
• Experience with Azure DevOps is a plus

The ideal candidate is also:

• Pragmatic: gets things done, can find a creative compromise between an ideal technical solution and actual client needs
• Understand the value of testing, quality, continuous integration, source control, and code reviews
• Able to analyze, plan, and estimate requirements as well as identify risks involved and provide solutions to them
• Good communication skills and excellent teamwork capabilities
• Independent and self-motivated with a can-do attitude
• Capable of executing under uncertainty, in a dynamic environment

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Who we are looking for:
An ambitious, hands-on Tech Lead (Python) to drive the technical vision and delivery of an intelligent legal automation platform. You will lead a cross-functional team building secure, scalable, and agentic AI solutions for notaries and legal professionals. You’ll define technical processes, select tools, and mentor engineers, supported by a culture of excellence and collaboration.

Important!
This role involves regular travel to the Netherlands to collaborate closely with the client, run in-person consulting sessions at the WeAreBrain office in Amsterdam, and occasionally visit the client’s office. Candidates must have the flexibility and ability to travel within Europe. Please include your location and salary expectations in your cover letter.

About the Project
Our client is a Netherlands-based company building a SaaS platform for notaries. AI-powered workflow automation, document intelligence, and agentic orchestration for the legal sector. Our stack includes Python (FastAPI, PydanticAI, LangChain), OCR/NLP pipelines, React/Tailwind portals, and cloud-native infrastructure (Kubernetes, Docker, GitHub Actions). We focus on privacy, compliance, and practical AI for real-world legal workflows. The solution is hosted in the Netherlands and fully aligned with EU data and security requirements. The project is a long-term partnership with a blended team from both the client and our company, working together as a single product team.

Tech Stack
— Python 3.9+, FastAPI, Flask, PydanticAI, LangChain
— SQLAlchemy, PostgreSQL, SQLite, MongoDB, Redis, Kafka
— PaddleOCR, Tesseract, custom NLP models
— Docker, Kubernetes, GitHub Actions, Ingress, cert-manager
— React, Tailwind, Keycloak (frontend)
— Microsoft Graph API, OAuth2/MSAL (integration)

Responsibilities
— Architect and deliver robust, readable, and well-documented Python microservices
— Lead the design and implementation of agentic AI workflows and document intelligence pipelines
— Define development plans, ensure timely delivery, and adapt to changing requirements
— Oversee system stability, security, and compliance (AVG/GDPR)
— Mentor engineers, lead code reviews, and foster best practices (type hints, Pydantic models, pre-commit, Ruff)
— Collaborate with frontend, DevOps, and client teams to deliver seamless solutions
— Communicate with POs and legal experts to clarify requirements and explain technical solutions
— Research, prototype, and evaluate new technologies (LLMs, OCR, cloud-native patterns)
— Drive continuous improvement in CI/CD, testing, and deployment automation

Qualifications
— 5+ years of hands-on Python experience, including large-scale projects and microservices
— Strong background in AI/NLP, OCR, or agentic workflow systems
— Experience with FastAPI, Pydantic, SQL/NoSQL databases, and cloud infrastructure
— Familiarity with Docker, Kubernetes, GitHub Actions, and secure deployment practices
— Solid understanding of REST, Websockets, authentication (OAuth2, JWT), and security best practices
— Experience with frontend integration (React, Keycloak) and Microsoft 365 APIs is a plus
— Excellent communication and collaboration skills; fluent English (C1+)
— Bachelor’s or Master’s in Computer Science, Software Engineering, or related field
— Experience mentoring or leading teams, and driving technical excellence
— Familiarity with legal tech, compliance, or document automation is a bonus

What we offer

• Flexible working conditions
• Competitive salary depending on your experience with a comprehensive benefits package, which includes a monthly €50 stipend to cover work-from-home expenses, and an allocation of 25 vacation days.
• After one year, WeAreBrain offers access to a Team Reward Program for all employees.
• Innovative Exploration: Seize the chance to pioneer your department, venturing into uncharted territories, and experimenting with fresh ideas that push boundaries.
• Entrepreneurial: Immerse yourself in a true entrepreneurial environment where every team member is an owner.
• Office Perks: We organise lunch in the office and have monthly gatherings for drinks and bites, fostering our team spirit.
• Remote Work Flexibility: Our team has the freedom to work remotely, allowing you to achieve a healthy work-life balance that suits your preferences.
• Professional Growth: We value your growth. Take advantage of diverse opportunities and resources designed to nurture your professional development.
• A creative and dynamic work environment.